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Dani Yogatama — most-cited papers & profile · Computer Vision
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overview
Dani Yogatama
6
papers ·
0
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models
2025
Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models
2025
The Rotary Position Embedding May Cause Dimension Inefficiency in Attention Heads for Long-Distance Retrieval
2025
Pelican Soup Framework: A Theoretical Framework for Language Model Capabilities
2024
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
2024
The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities
2024
Topics
Training Techniques
Model Architecture
Vision-Language
cs.LG
cs.CL
Evaluation
Code
Efficiency
cs.CV
In-Context Learning